---
title: "NY NOAA"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    vertical_layout: fill
    source: embed
---


```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(p8105.datasets)
library(plotly)

knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE)
```

```{r}
data("ny_noaa")

noaa =
  ny_noaa %>%
  mutate(
    across(c(prcp, snow, snwd, tmax, tmin),
           ~ suppressWarnings(as.numeric(.)))
  ) %>%
  mutate(
    date = as.Date(date),
    year = year(date),
    month = month(date),
    day = day(date),
    tmax_c = ifelse(is.na(tmax), NA_real_, tmax / 10),
    tmin_c = ifelse(is.na(tmin), NA_real_, tmin / 10),
    ) %>%
  select(id, date, year, month, tmax_c, tmin_c)
```


```{r}
id_top =
  noaa %>%
  drop_na(tmax_c) %>%
  count(id, sort = TRUE) %>%
  slice(1) %>%
  pull(id)
year_pick =
  noaa %>%
  filter(id == id_top, !is.na(tmax_c)) %>%
  count(year, sort = TRUE)%>%
  slice(1) %>%
  pull(year)

line_df =
  noaa %>%
  filter(id == id_top, year == year_pick) %>%
  group_by(date) %>%
  summarise(mean_tmax = mean(tmax_c, na.rm = TRUE), .groups = "drop")

N_box = min(80000, sum(!is.na(noaa$tmax_c)))
box_df = 
  noaa %>%
  drop_na(tmax_c) %>%
  slice_sample(n = N_box) %>%
  mutate(
    season = case_when(
      month %in% c(12, 1, 2) ~ "Winter",
      month %in% c(3,  4, 5) ~ "Spring",
      month %in% c(6,  7, 8) ~ "Summer",
      month %in% c(9, 10,11) ~ "Autumn"
    ),
    month = factor(month, levels = 1:12, labels = month.abb)
  )
```

Column {data-width=650}
-----------------------------------------------------------------------

### Scatterplot

```{r}
noaa %>%
  drop_na(tmin_c, tmax_c) %>%
  slice_sample(n = 4000) %>%
  plot_ly(x = ~tmin_c, y = ~tmax_c,
          color = ~month, colors = viridisLite::viridis(12),
          type = "scatter", mode = "markers",
          marker = list(size = 5, opacity = 0.6)) %>%
  layout(title = "tmax vs tmin (°C)",
         xaxis = list(title = "tmin (°C)"),
         yaxis = list(title = "tmax (°C)"))
```

Column {data-width=350}
-----------------------------------------------------------------------

### Box plot

```{r}
plot_ly(
  box_df,
  x = ~month, y = ~tmax_c,
  type = "box",
  boxpoints = "outliers",
  boxmean = TRUE,
  split = ~season
) %>%
  layout(
    colorway = viridisLite::viridis(4),
    showlegend = TRUE,
    legend = list(orientation = "h"),
    title = paste0("Monthly tmax (", "\u00B0", "C) by season"),
    xaxis = list(title = "Month"),
    yaxis = list(title = paste0("tmax (", "\u00B0", "C)"))
  )
```


### Line plot

```{r}
plot_ly(
  line_df, x=~date, y=~mean_tmax,
        type="scatter", mode="lines") %>%
  layout(
    title = paste0("Daily mean tmax — (", year_pick, ")"),
    xaxis = list(
      title = "Month",
      tickformat = "%b",
      dtick = "M1",
      ticklabelmode = "period",
      showgrid = FALSE, zeroline = FALSE, ticks = "outside"
    ),
    yaxis = list(
      title = paste0("tmax (", "\u00B0", "C)"),
      dtick = 5, zeroline = FALSE, ticks = "outside"
    )
  )
```